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Performance Analysis of Magnetic Nanoparticles during Targeted Drug Delivery: Application of OHAM

Muhammad Zafar1,#,*, Muhammad Saif Ullah1,#, Tareq Manzoor2, Muddassir Ali3, Kashif Nazar4, Shaukat Iqbal5, Habib Ullah Manzoor6, Rizwan Haider1, Woo Young Kim7,*

1 Institute of Energy and Environmental Engineering, University of the Punjab, Quaid-e-Azam Campus, Lahore, 54590, Pakistan
2 Energy Research Centre, COMSATS University Islamabad, Lahore, 54000, Pakistan
3 Department of Energy Engineering, Faculty of Mechanical and Aeronautical Engineering, University of Engineering and Technology, Taxila, 47080, Pakistan
4 Department of Mathematics, COMSATS University Islamabad, Lahore, 54000, Pakistan
5 School of Systems and Technology, University of Management Sciences and Technology, Lahore, 54770, Pakistan
6 Department of Electrical, Electronics and Telecommunication Engineering, University of Engineering and Technology, Lahore (FSD Campus), Faisalabad, 38000, Pakistan
7 Department of Electronic Engineering, Faculty of Applied Energy System, Jeju National University, Jeju Special Self-Governing Province, Jeju-si, 63243, Korea

* Corresponding Authors: Muhammad Zafar. Email: email; Woo Young Kim. Email: email
# These authors contributed equally to this work

Computer Modeling in Engineering & Sciences 2022, 130(2), 723-749. https://doi.org/10.32604/cmes.2022.017257

Abstract

In recent years, the emergence of nanotechnology experienced incredible development in the field of medical sciences. During the past decade, investigating the characteristics of nanoparticles during fluid flow has been one of the intriguing issues. Nanoparticle distribution and uniformity have emerged as substantial criteria in both medical and engineering applications. Adverse effects of chemotherapy on healthy tissues are known to be a significant concern during cancer therapy. A novel treatment method of magnetic drug targeting (MDT) has emerged as a promising topical cancer treatment along with some attractive advantages of improving efficacy, fewer side effects, and reduce drug dose. During magnetic drug targeting, the appropriate movement of nanoparticles (magnetic) as carriers is essential for the therapeutic process in the blood clot removal, infection treatment, and tumor cell treatment. In this study, we have numerically investigated the behavior of an unsteady blood flow infused with magnetic nanoparticles during MDT under the influence of a uniform external magnetic field in a micro-tube. An optimal homotopy asymptotic method (OHAM) is employed to compute the governing equation for unsteady electromagnetohydrodynamics flow. The influence of Hartmann number (Ha), particle mass parameter (G), particle concentration parameter (R), and electro-osmotic parameter (k) is investigated on the velocity of magnetic nanoparticles and blood flow. Results obtained show that the electro-osmotic parameter, along with Hartmann’s number, dramatically affects the velocity of magnetic nanoparticles, blood flow velocity, and flow rate. Moreover, results also reveal that at a higher Hartman number, homogeneity in nanoparticles distribution improved considerably. The particle concentration and mass parameters effectively influence the capturing effect on nanoparticles in the blood flow using a micro-tube for magnetic drug targeting. Lastly, investigation also indicates that the OHAM analysis is efficient and quick to handle the system of nonlinear equations.

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APA Style
Zafar, M., Ullah, M.S., Manzoor, T., Ali, M., Nazar, K. et al. (2022). Performance analysis of magnetic nanoparticles during targeted drug delivery: application of OHAM. Computer Modeling in Engineering & Sciences, 130(2), 723-749. https://doi.org/10.32604/cmes.2022.017257
Vancouver Style
Zafar M, Ullah MS, Manzoor T, Ali M, Nazar K, Iqbal S, et al. Performance analysis of magnetic nanoparticles during targeted drug delivery: application of OHAM. Comput Model Eng Sci. 2022;130(2):723-749 https://doi.org/10.32604/cmes.2022.017257
IEEE Style
M. Zafar et al., "Performance Analysis of Magnetic Nanoparticles during Targeted Drug Delivery: Application of OHAM," Comput. Model. Eng. Sci., vol. 130, no. 2, pp. 723-749. 2022. https://doi.org/10.32604/cmes.2022.017257



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